Types of Statistical Tests

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Statistical tests may be used at a healthcare organization for many purposes:

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making data-driven decisions, 

  • Statistical tests help healthcare leaders analyze patterns, trends, and outcomes from patient data, enabling informed decision-making rather than relying on assumptions. 

  • Example: A hospital uses regression analysis to predict readmission risk. Based on those predictions, they allocate care managers to high-risk patients. 

  • Impact: Improves resource allocation, enhances patient care, and supports strategic planning. 

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comparing cost and effectiveness of healthcare services, 

  • Healthcare organizations use t-tests, ANOVA, or regression analysis to evaluate whether a new treatment or intervention provides better outcomes at the same or reduced cost. 

  • Example: ANOVA is used to compare three chronic care management programs' costs and effectiveness. 

  • Impact: Identifies the most cost-efficient service models, informing budgeting and contracting decisions. 

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measuring outcomes and quality improvement initiatives 

  • Healthcare organizations use t-tests, ANOVA, or regression analysis to evaluate whether a new treatment or intervention provides better outcomes at the same or reduced cost. 

  • Example: ANOVA is used to compare three chronic care management programs' costs and effectiveness. 

  • Impact: Identifies the most cost-efficient service models, informing budgeting and contracting decisions. 

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reporting to internal and external stakeholders 

  • Healthcare organizations use t-tests, ANOVA, or regression analysis to evaluate whether a new treatment or intervention provides better outcomes at the same or reduced cost. 

  • Example: ANOVA is used to compare three chronic care management programs' costs and effectiveness. 

  • Impact: Identifies the most cost-efficient service models, informing budgeting and contracting decisions